Social Determinants of Health and Delivery of Rehabilitation to Older Adults During ICU Hospitalization.

Importance: Older adults with socioeconomic disadvantage develop a greater burden of disability after critical illness than those without socioeconomic disadvantage. The delivery of in-hospital rehabilitation that can mitigate functional decline may be influenced by social determinants of health (SDOH). Whether rehabilitation delivery differs by SDOH during critical illness hospitalization is not known. Objective: To evaluate whether SDOH are associated with the delivery of skilled rehabilitation during critical illness hospitalization among older adults. Design, Setting, and Participants: This cohort study used data from the National Health and Aging Trends Study linked with Medicare claims (2011-2018). Participants included older adults hospitalized with a stay in the intensive care unit (ICU). Data were analyzed from August 2022 to September 2023. Exposures: Dual eligibility for Medicare and Medicaid, education, income, limited English proficiency (LEP), and rural residence. Main Outcome and Measures: The primary outcome was delivery of physical therapy (PT) and/or occupational therapy (OT) during ICU hospitalization, characterized as any in-hospital PT or OT and rate of in-hospital PT or OT, calculated as total number of units divided by length of stay. Results: In the sample of 1618 ICU hospitalizations (median [IQR] patient age, 81.0 [75.0-86.0] years; 842 [52.0%] female), 371 hospitalizations (22.9%) were among patients with dual Medicare and Medicaid eligibility, 523 hospitalizations (32.6%) were among patients with less than high school education, 320 hospitalizations (19.8%) were for patients with rural residence, and 56 hospitalizations (3.5%) were among patients with LEP. A total of 1076 hospitalized patients (68.5%) received any PT or OT, with a mean rate of 0.94 (95% CI, 0.86-1.02) units/d. After adjustment for age, sex, prehospitalization disability, mechanical ventilation, and organ dysfunction, factors associated with lower odds of receipt of PT or OT included dual Medicare and Medicaid eligibility (adjusted odds ratio, 0.70 [95% CI, 0.50-0.97]) and rural residence (adjusted odds ratio, 0.65 [95% CI, 0.48-0.87]). LEP was associated with a lower rate of PT or OT (adjusted rate ratio, 0.55 [95% CI, 0.32-0.94]). Conclusions and Relevance: These findings highlight the need to consider SDOH in efforts to promote rehabilitation delivery during ICU hospitalization and to investigate factors underlying inequities in this practice.

Upward Mobility Context and Health Outcomes and Behaviors during Transition to Adulthood: The Intersectionality of Race and Sex.

This study investigates how upward mobility context affects health during transition to adulthood and its variations by race and sex. Using county-level upward mobility measures and data from the Panel Study of Income Dynamics, we apply propensity score weighting techniques to examine these relationships. Results show that low upward mobility context increases the likelihood of poor self-rated health, obesity, and cigarette use but decreases alcohol consumption probability. Conversely, high upward mobility context raises the likelihood of distress, chronic conditions, and alcohol use but reduces cigarette use likelihood. In low-opportunity settings, Black individuals have lower risks of chronic conditions and cigarette use than White men. In high-opportunity settings, Black women are more likely to experience depression and chronic conditions, and Black men are likelier to smoke than White men. Our findings emphasize the complex link between upward mobility context and health for different racial and sex groups.

Assessment of Regional Nursing Home Preparedness for and Regulatory Responsiveness to Wildfire Risk in the Western US.

Importance: It is uncertain whether emergency preparedness and regulatory oversight for US nursing homes are aligned with local wildfire risk. Objective: To evaluate the likelihood that nursing homes at elevated risk of wildfire exposure meet US Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards and to compare the time to reinspection by exposure status. Design, Setting, and Participants: This cross-sectional study of nursing homes in the continental western US from January 1, 2017, through December 31, 2019, was conducted using cross-sectional and survival analyses. The prevalence of high-risk facilities within 5 km of areas at or exceeding the 85th percentile of nationalized wildfire risk across areas overseen by 4 CMS regional offices (New Mexico, Mountain West, Pacific/Southwest, and Pacific Northwest) was determined. Critical emergency preparedness deficiencies cited during CMS Life Safety Code Inspections were identified. Data analysis was performed from October 10 to December 12, 2022. Main Outcomes and Measures: The primary outcome classified whether facilities were cited for at least 1 critical emergency preparedness deficiency during the observation window. Regionally stratified generalized estimating equations were used to evaluate associations between risk status and the presence and number of deficiencies, adjusted for nursing home characteristics. For the subset of facilities with deficiencies, differences in restricted mean survival time to reinspection were evaluated. Results: Of the 2218 nursing homes in this study, 1219 (55.0%) were exposed to elevated wildfire risk. The Pacific/Southwest had the highest percentage of both exposed (680 of 870 [78.2%]) and unexposed (359 of 486 [73.9%]) facilities with 1 or more deficiencies. The Mountain West had the largest difference in the percentage of exposed (87 of 215 [40.5%]) vs unexposed (47 of 193 [24.4%]) facilities with 1 or more deficiencies. Exposed facilities in the Pacific Northwest had the greatest mean (SD) number of deficiencies (4.3 [5.4]). Exposure was associated with the presence of deficiencies in the Mountain West (odds ratio [OR], 2.12 [95% CI, 1.50-3.01]) and the presence (OR, 1.84 [95% CI, 1.55-2.18]) and number (rate ratio, 1.39 [95% CI, 1.06-1.83]) of deficiencies in the Pacific Northwest. Exposed Mountain West facilities with deficiencies were reinspected later, on average, than unexposed facilities (adjusted restricted mean survival time difference, 91.2 days [95% CI, 30.6-151.8 days]). Conclusions and Relevance: In this cross-sectional study, regional heterogeneity in nursing home emergency preparedness for and regulatory responsiveness to local wildfire risk was observed. These findings suggest that there may be opportunities to improve the responsiveness of nursing homes to and regulatory oversight of surrounding wildfire risk.

Explaining obesity disparities by urbanicity, 2006 to 2016: A decomposition analysis.

OBJECTIVE: A large, and potentially growing, disparity in obesity prevalence exists between large central metros and less urban United States counties. This study examines its key predictors. METHODS: Using a rich county-year data set spanning 2006 to 2016, the authors conducted a Gelbach decomposition to examine the relative importance of demographic, socioeconomic, environmental, and behavioral factors in shaping the baseline obesity gap and the growth rate over time between large central metros and other counties. RESULTS: Predictors included in this model explain almost the entire obesity gap between large central metros and other counties in the baseline year but can explain only ~32% of the growing gap. At baseline, demographic predictors explain more than half the obesity gap, and socioeconomic and behavioral predictors explain the other half. Behavioral and socioeconomic predictors explain more than half the growing gap over time whereas controlling for environmental and demographic predictors decreases the obesity gap by urbanicity over time. CONCLUSIONS: Results suggest policy makers should prioritize interventions targeting health behaviors of residents in non-large central metros to slow the growth of the obesity gap between large central metros and other counties. However, to fundamentally eliminate the obesity gap, in addition to improving health behaviors, policies addressing socioeconomic inequalities are needed.

The interplay of race/ethnicity and education in fertility patterns.

This study examines the interplay between race/ethnicity and educational attainment in shaping completed fertility in the United States for women born 1961-80. Using data from the National Survey of Family Growth, 2006-17, we apply multilevel, multiprocess hazard models to account for unobserved heterogeneity and to estimate (1) cohort total fertility rates, (2) parity progression ratios, and (3) parity-specific fertility timing, for non-Hispanic white, non-Hispanic Black, and Hispanic women by educational attainment. We find that compared with their white counterparts, fertility was higher among Black and Hispanic women with less than high school education. However, among college-educated women, fertility levels were lowest among Black women and highest among Hispanic women. The difference in fertility between college-educated Black and white women is driven mainly by the smaller proportion of Black mothers having second births. We find little evidence that the observed racial/ethnic disparities in fertility levels by educational attainment are driven by differences in fertility timing.

Telecommuting and gender inequalities in parents' paid and unpaid work before and during the COVID-19 pandemic.

Objective: This study examines the relationship between telecommuting and gender inequalities in parents' time use at home and on the job before and during the COVID-19 pandemic. Background: Telecommuting is a potential strategy for addressing the competing demands of work and home and the gendered ways in which they play out. Limited evidence is mixed, however, on the implications of telecommuting for mothers' and fathers' time in paid and unpaid work. The massive increase in telecommuting due to COVID-19 underscores the critical need to address this gap in the literature. Method: Data from the 2003-2018 American Time Use Survey (N = 12,519) and the 2020 Current Population Survey (N = 83,676) were used to estimate the relationship between telecommuting and gender gaps in parents' time in paid and unpaid work before and during the pandemic. Matching and quasi-experimental methods better approximate causal relationships than prior studies. Results: Before the pandemic, telecommuting was associated with larger gender gaps in housework and work disruptions but smaller gender gaps in childcare, particularly among couples with two full-time earners. During the pandemic, telecommuting mothers maintained paid work to a greater extent than mothers working on-site, whereas fathers' work hours did not differ by work location. Conclusion: In the context of weak institutional support for parenting, telecommuting may offer mothers a mechanism for maintaining work hours and reducing gender gaps in childcare, while exacerbating inequalities in housework and disruptions to paid work.

U.S. regional differences in physical distancing: Evaluating racial and socioeconomic divides during the COVID-19 pandemic.

Health varies by U.S. region of residence. Despite regional heterogeneity in the outbreak of COVID-19, regional differences in physical distancing behaviors over time are relatively unknown. This study examines regional variation in physical distancing trends during the COVID-19 pandemic and investigates variation by race and socioeconomic status (SES) within regions. Data from the 2015-2019 five-year American Community Survey were matched with anonymized location pings data from over 20 million mobile devices (SafeGraph, Inc.) at the Census block group level. We visually present trends in the stay-at-home proportion by Census region, race, and SES throughout 2020 and conduct regression analyses to examine these patterns. From March to December, the stay-at-home proportion was highest in the Northeast (0.25 in March to 0.35 in December) and lowest in the South (0.24 to 0.30). Across all regions, the stay-at-home proportion was higher in block groups with a higher percentage of Blacks, as Blacks disproportionately live in urban areas where stay-at-home rates were higher (0.009 [CI: 0.008, 0.009]). In the South, West, and Midwest, higher-SES block groups stayed home at the lowest rates pre-pandemic; however, this trend reversed throughout March before converging in the months following. In the Northeast, lower-SES block groups stayed home at comparable rates to higher-SES block groups during the height of the pandemic but diverged in the months following. Differences in physical distancing behaviors exist across U.S. regions, with a pronounced Southern and rural disadvantage. Results can be used to guide reopening and COVID-19 mitigation plans.

Association Between Neighborhood Disadvantage and Functional Well-being in Community-Living Older Persons.

Importance: Neighborhood disadvantage is a novel social determinant of health that could adversely affect the functional well-being of older persons. Deficiencies in resource-poor environments can potentially be addressed through social and public health interventions. Objective: To evaluate whether estimates of active and disabled life expectancy differ on the basis of neighborhood disadvantage after accounting for individual-level socioeconomic characteristics and other prognostic factors. Design, Setting, and Participants: This prospective longitudinal cohort study included 754 nondisabled community-living persons, aged 70 years or older, who were members of the Precipitating Events Project in south central Connecticut from March 1998 to June 2020. Main Outcomes and Measures: Disability in 4 essential activities of daily living (bathing, dressing, walking, and transferring) was assessed each month. Scores on the Area Deprivation Index, a census-based socioeconomic measure with 17 education, employment, housing quality, and poverty indicators, were obtained through linkages with the 2000 Neighborhood Atlas. Area Deprivation Index scores were dichotomized at the 80th state percentile to distinguish neighborhoods that were disadvantaged (81-100) from those that were not (1-80). Results: Among the 754 participants, the mean (SD) age was 78.4 (5.3) years, and 487 (64.6%) were female. Within 5-year age increments from 70 to 90, active life expectancy was consistently lower in participants from neighborhoods that were disadvantaged vs not disadvantaged, and these differences persisted and remained statistically significant after adjustment for individual-level race and ethnicity, education, income, and other prognostic factors. At age 70 years, adjusted estimates (95% CI) for active life expectancy (in years) were 12.3 (11.5-13.1) in the disadvantaged group and 14.2 (13.5-14.7) in the nondisadvantaged group. At each age, participants from disadvantaged neighborhoods spent a greater percentage of their projected remaining life disabled, relative to those from nondisadvantaged neighborhoods, with adjusted values (SE) ranging from 17.7 (0.8) vs 15.3 (0.5) at age 70 years to 55.0 (1.7) vs 48.1 (1.3) at age 90 years. Conclusions and Relevance: In this prospective longitudinal cohort study, living in a disadvantaged neighborhood was associated with lower active life expectancy and a greater percentage of projected remaining life with disability. By addressing deficiencies in resource-poor environments, new or expanded social and public health initiatives have the potential to improve the functional well-being of community-living older persons and, in turn, reduce health disparities in the US.

Intergenerational upward mobility and racial differences in mortality among young adults: Evidence from county-level analyses.

Inspired by the influential "deaths of despair" narrative, which emphasizes the role of worsening economic opportunity in driving the increasing mortality for non-Hispanic Whites in the recent decades, a rising number of studies have provided suggestive evidence that upward mobility levels across counties may partly explain variations in mortality rates. A gap in the literature is the lack of life-course studies examining the relationship between early-life upward mobility and later-life mortality across counties. Another gap is the lack of studies on how the relationship between upward mobility and mortality across counties varies across diverse sociodemographic populations. This study examines differences across race and sex in the relationship between early-life intergenerational upward mobility and early adulthood mortality at the county level. We use administrative data on upward mobility and vital statistics data on mortality across 3030 counties for those born between 1978 and 1983. We control for a variety of county-level socioeconomic variables in a model with fixed effects for state and year. Subgroup analyses by educational attainment and urban status were also performed for each race-sex combination. Results show strong negative relationships between early-life upward mobility and early adulthood mortality across racial-sex combinations, with a particularly greater magnitude for non-Hispanic Black males. In addition, individuals without a college degree and living in urban counties are particularly affected by early life upward mobility. The findings of this study highlight the vulnerability of less-educated, young urban Black males, due to the intersecting effects of the urban context, education, race, and sex.

Spillover effects of a husband's retirement on a woman's health: Evidence from urban China.

Despite an increasing number of studies measuring the effect of retirement on individual well-being, research on spillover effects of one spouse's retirement on another spouse's well-being is limited. If such an effect exists but is not considered, it would result in an underestimation of the total retirement effect. This article examines the effect a man's retirement has on his wife's mental and physical health. Using data from the China Health and Retirement Longitudinal Survey (CHARLS), I exploit the large increase in the probability of retirement at the legal retirement age for urban male wage earners in China as a natural experiment. I implement a fuzzy regression discontinuity design to compare the health outcomes of women whose husbands recently retired with those whose husbands are close to retiring. Findings indicate that the retirement of her spouse improves a woman's physical and mental well-being, most likely by increasing the frequency of her social interactions and exercise.

Women's educational attainment and fertility among Generation X in the United States.

This study examines whether the fertility of college-educated women is increasing more quickly across cohorts in Generation X than the fertility of their less educated counterparts. Using data from the National Survey of Family Growth in the United States, this study examines the educational differentials in fertility levels and timing across four five-year cohorts of 'Generation Xers'. Results reveal that total fertility rates (TFRs) are increasing across cohorts for all educational groups and the increase is greatest for college-educated women. The increase in cohort TFR among college-educated women is being primarily driven by an increasing proportion of those with two children transitioning to a third birth. The findings in this paper contribute to the current debate on whether there has been a shift in fertility behaviours among college-educated Generation Xers compared with their Baby Boomer counterparts.

Objective and Subjective Socioeconomic Status, Their Discrepancy, and Health: Evidence from East Asia.

Socioeconomic status (SES) is largely understood to be a fundamental determinant of health. Recently, subjective socioeconomic status (SSS) has emerged as a potentially important predictor of health above and beyond traditional (i.e., objective) SES indicators (OSS). The current study adds to this emerging body of research by examining the potentially important role of status discrepancies for health outcomes. We used nationally representative data from three East Asian countries (China, Japan, and South Korea) (2010 East Asian Social Survey) and a non-linear statistical technique (i.e., diagonal mobility model) to simultaneously model the independent contributions of OSS and SSS and their discrepancy for three health outcomes. Findings showed that SSS does, in fact, explain additional variation in health net of OSS in most cases, and status discrepancy is not associated with any of the three health outcomes. While status discrepancy was not found to be a driving factor in determining the predictive power of SSS net of OSS (at least in East Asia), the present study adds robustness to the accumulating evidence that challenges the social inequality hypothesis and provides a basis from which future research can build and contribute further to the understanding surrounding socioeconomic status and health outcomes.

Recent trends in US mortality in early and middle adulthood: racial/ethnic disparities in inter-cohort patterns.

BACKGROUND: A striking increase in the all-cause mortality of US middle-aged non-Hispanic Whites in the past two decades has been documented by previous studies. The inter-cohort patterns in US mortality, as well as their racial/ethnic disparities, are still unclear. METHODS: Using official mortality data, we study US annual mortality rates for ages 25-54 from 1990 to 2016 by gender and race/ethnicity. We conduct an age-period-cohort analysis to disentangle the period and cohort forces driving the absolute changes in mortality across cohorts. Nine leading causes of death are also explored to explain the inter-cohort mortality patterns and their racial/ethnic disparities. RESULTS: We find cohort-specific elevated mortality trends for gender- and race/ethnicity-specific populations. For non-Hispanic Blacks and Hispanics, Baby Boomers have increased mortality trends compared with other cohorts. For non-Hispanic White females, it is late-Gen Xers and early-Gen Yers for whom the mortality trends are higher than other cohorts. For non-Hispanic White males, the elevated mortality pattern is found for Baby Boomers, late-Gen Xers, and early-Gen Yers. The mortality pattern among Baby Boomers is at least partially driven by mortality related to drug poisoning, suicide, external causes, chronic obstructive pulmonary disease and HIV/AIDS for all race and gender groups affected. The elevated mortality patterns among late-Gen Xers and early-Gen Yers are at least partially driven by mortality related to drug poisonings and alcohol-related diseases for non-Hispanic Whites. Differential patterns of drug poisoning-related mortality play an important role in the racial/ethnic disparities in these mortality patterns. CONCLUSIONS: We find substantial racial/ethnic disparities in inter-cohort mortality patterns. Our findings also point to the unique challenges faced by younger generations.

Males' Later-Life Mortality Consequences of Coresidence With Paternal Grandparents: Evidence From Northeast China, 1789-1909.

In this study, we investigate the effect of early-life coresidence with paternal grandparents on male mortality risks in adulthood and older age in northeast China from 1789 to 1909. Despite growing interest in the influence of grandparents on child outcomes, few studies have examined the effect of coresidence with grandparents in early life on mortality in later life. We find that coresidence with paternal grandmothers in childhood is associated with higher mortality risks for males in adulthood. This may reflect the long-term effects of conflicts between mothers and their mothers-in-law. These results suggest that in extended families, patterns of coresidence in childhood may have long-term consequences for mortality, above and beyond the effects of common environmental and genetic factors, even when effects on childhood mortality are not readily apparent.